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Dr. Mitsuru Nagasawa, the founding President of the Toyota Institute of Technology at Chicago (TTIC), will retire this year. With his leadership, TTIC has developed active research and education programs in computer science, has become accredited to grant PhD degrees, and is active in the recruitment of graduate students and outstanding faculty. The Board of Trustees has appointed a committee of the Board, the Presidential Search Committee, to accept and review nominations and applications for the position of president, and to make a recommendation to the Board for an appointment. Inquiries can be sent to Stuart Rice at sarice@ttic.edu.

The National Science Foundation has awarded a grant of $408,305 to the Toyota Technological Institute at Chicago for support of the project entitled "Algorithm and Web Server for Low-homology Protein Threading", under the direction of Dr. Jinbo Xu.

This award is effective July 1 , 2010 and expires June 30, 2013.

This grant is awarded pursuant to the authority of the National Science Foundation Act of 1950, as amended (42 U.S.C. 1861-75).

David McAllester has won the 2010 AAAI Classic Paper award for the paper “Systematic Nonlinear Planning" with David Rosenblitt, which appeared in the AAAI conference in 1991.

The AAAI Classic Paper award honors the author(s) of paper(s) deemed most influential, chosen from a specific conference year. Each year, the time period considered will advance by one year. The 2010 award is being given to the most influential paper(s) from the Ninth National Conference on Artificial Intelligence, held in 1991 in Anaheim, California, and will be presented to Dr. McAllister at the AAAI – 10 conference in Atlanta, Georgia on July 11 - 15.

The papers are judged on the basis of impact, for example:

- Started a new research (sub)area
- Led to important applications
- Answered a long-standing question/issue or clarified what had been murky
- Made a major advance that figures in the history of the subarea
- Has been picked up as important and used by other areas within (or outside of) AI
- Has been very heavily cited

This award will be posted on the AAAI website soon. There was no award given in 2009.

Jinbo Xu was awarded a grant from the National Institute of Health effective May 14, 2010, and the project title is New Computational Methods for Data-driven Protein Structure Prediction. The budget for the first year is $268,555 and the project period is from the start date noted above to April 30, 2015.

The project described was supported by Award Number R01GM089753 from the National Institute Of General Medical Sciences. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of General Medical Sciences or the National Institutes of Health.

Karen Livescu hosted a regional speech research meeting, the 2nd Illinois Speech Day, on May 10, 2010. About fifty people from Illinois and farther away participated. Among the institutions represented, in addition to TTIC, were the University of Chicago, Northwestern University, University of Illinois at Urbana Champaign, University of Washington, Massachusetts Institute of Technology, and Carnegie Mellon University. The program can be found here.

TTIC congratulates Jian Peng, a TTIC third-year Ph.D. student who was awarded the prestigious Microsoft Research Ph.D. Fellowship this month (February 2010). The Microsoft Research Ph.D. Fellowship is a two-year fellowship program for outstanding Ph.D. students, and supports men and women in their third and fourth years of Ph.D. graduate studies.

The fellowship award will cover 100 percent of recipient’s tuition and fees for two academic years (2010 and 2011), provide a stipend to cover living expenses while in school, a travel allowance for recipients to attend professional conferences or seminars, and offers recipients the opportunity to complete one salaried internship over the duration of the year following the award.

Jian works with TTIC’s professor Jinbo Xu on mathematical modellings in computational biology. His other research interests include machine learning and algorithms. For more information about Jian, check out his webpage.

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Liefeng Bo Liefeng Bo | Home Page

Liefeng Bo received his B.S. in Applied Mathematics and his Ph.D. in Circuits and Systems from Xidian University, in 2002 and 2007, respectively. Since 2007, he has been a postdoctoral scholar at Toyota Technological Institute at Chicago (TTIC).

Dr. Bo's research interests include machine learning and computer vision. He has recently worked on kernel methods and maximum margin estimation, predicting structured outputs (discrete and continuous), graphical model, object detection and recognition, human pose estimation and action recognition, and image representation and feature extraction.
Wonseok Chae Wonseok Chae | Home Page

Wonseok Chae received his B.S. and M.S. degrees in Computer Science and Engineering from the Pohang University of Science and Technology (POSTECH) in 1998 and 2001 respectively. From 2001 to 2003, he worked for Lucent Bell Labs Korea and served as provisional software process assessor. He received his Ph.D. in Computer Science from Toyota Technological Institute at Chicago in 2009.

His research interests are in programming languages and software engineering, especially at their intersection. In particular, his interests are in the design and implementation of advanced programming languages. He also exploits emerging software engineering principles and practices including software product line engineering. His current research focuses on the design, analysis and implementation of feature-oriented programming.
Li Cheng Li Cheng | Home Page

Li Cheng received his PhD from University of Alberta, Canada in late 2004. He earned a B.Sc. from Jilin University and a M.E. from Nankai University, both in China. He was a researcher in the Statistical Machine Learning Group at National ICT Australia (NICTA) and an adjunct research fellow in Australian National University (ANU) during 2006-2008.

His research interests are in the areas of computer vision and machine learning, and in particular in image understanding and human motion analysis. His past research projects include online learning with applications to video segmentation, continuous action recognition, using machine learning methods to help (multi-view) color image compression and learning graph matching.